Detection methods for malware variant using API call related graphs

Citations

SCOPUS

7

초록

Recently damages in users caused by malware have been increased. The malware presently propagated has been generated as variants by modifying it using various techniques and tools and that leads to significant increase in the number of malware. Thus, researches on various methods for detecting such malware have been conducted. In this paper, we proposed a method to detect malware variants through the measuring of similarity in control flow graphs related to API calls in malware.

키워드

API call related graphMalware detectionMalware variantsAPI callsDetection methodsIn-controlMalware detectionMalwaresDamage detectionComputer crime
제목
Detection methods for malware variant using API call related graphs
저자
Han, Kyoung-SooKim, In-KyoungIm, Eul Gyu
DOI
10.1007/978-94-007-2911-7_59
발행일
2011-12
유형
Conference Paper
저널명
Lecture Notes in Electrical Engineering
120 LNEE
페이지
607 ~ 611